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Data Analyst Croudsource jobs IRC239180

FULLY FLEXIBLE
Remote: 
Full Remote
Contract: 
Salary: 
29 - 29K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Strong proficiency in Python programming, Experience with data manipulation libraries, Familiarity with AWS, especially SageMaker, Knowledge of machine learning techniques, Excellent problem-solving and attention to detail.

Key responsabilities:

  • Analyze data and generate actionable insights
  • Develop and deploy machine learning models
  • Collaborate with cross-functional teams
  • Work on crowdsource jobs and solutions
  • Understand business requirements for complex problems
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GlobalLogic https://www.globallogic.com/
10001 Employees
See more GlobalLogic offers

Job description

Logo Jobgether

Your missions

Description:

Client desires novel AI based digital solutions that can help support Eye Care Professionals (ECPs), patients, etc. make data driven decisions that improve future outcomes (e.g., lens selection, treatment support).

As part of this project the R&D medical data scientist (MDS) team with the partnership with the vision care commercial/franchise teams will analyze these MARLO datasets to formulate tools & hypotheses to determine how appealing they are for ECPs/patients & to test them to see how AI can help (e.g., improve ECPs & patient journeys, uncover insights to use in product development, develop novel MARLO digital tools to expand its functionality). During this POC feasibility project MDS team will provide several AI models & solutions designed to help patients & ECPs make personalized CL suggestions, multifocal (MF) treatment decisions (e.g., provide data driven CL suggestions identify which new MF CL wearers are likely “easy” to fit), etc. At the end of this project MDS should deliver AI models for high priority use cases (e.g., lens selection, MF patient compatibility) and gather feedback on their accuracy & clinic utility from expert ECPs, internal stakeholders, etc.

Wage: From 2450 € gross monthly. Final salary will reflect your skills and experience

Requirements:


  • Strong proficiency in Python programming and experience with data manipulation libraries (e.g. Pandas, NumPy).
  • Familiarity with AWS services, particularly SageMaker, for machine learning model development and deployment.]
  • Experience working with structured data and conducting data analysis.
  • Knowledge of machine learning techniques and algorithms, with hands-on experience in model training and evaluation.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  • Ability to work both independently and as part of a team in a fast-paced environment.


Job Responsibilities:

As a Data Analyst/Data Scientist, you will play a crucial role in analyzing data, creating crowdsource jobs, developing machine

learning models, and extracting actionable insights to drive business decisions. You will work closely

with cross-functional teams to understand business requirements, explore data sources, and develop

solutions to solve complex problems. This role offers an exciting opportunity to gain hands-on

experience in data analytics and machine learning while working with cutting-edge technologies.

What We Offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise—we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Hard Skills

Soft Skills

  • Teamwork
  • collaboration
  • Problem Solving
  • Detail-Oriented
  • communication

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